Node
North Yorkshire > Ripon
The table below provides summary statistics and salary benchmarking for jobs advertised in Ripon requiring Node.js skills. It covers permanent job vacancies from the 6 months leading up to 5 February 2026, with comparisons to the same periods in the previous two years.
| 6 months to 5 Feb 2026 |
Same period 2025 | Same period 2024 | |
|---|---|---|---|
| Rank | 6 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Node.js | 1 | 0 | 0 |
| As % of all permanent jobs in Ripon | 6.67% | - | - |
| As % of the Libraries, Frameworks & Software Standards category | 33.33% | - | - |
| Number of salaries quoted | 1 | 0 | 0 |
| 10th Percentile | - | - | - |
| 25th Percentile | £40,750 | - | - |
| Median annual salary (50th Percentile) | £41,500 | - | - |
| 75th Percentile | £42,250 | - | - |
| 90th Percentile | - | - | - |
| North Yorkshire median annual salary | £41,500 | £67,000 | £53,750 |
| % change year-on-year | -38.06% | +24.65% | +9.69% |
All Software Libraries and Frameworks
Ripon
Node.js falls under the Software Libraries and Frameworks category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring technical specification, industry standards, software libraries and framework skills in Ripon.
| Permanent vacancies with a requirement for technical specification, industry standards, software libraries and framework skills | 3 | 0 | 0 |
| As % of all permanent jobs advertised in Ripon | 20.00% | - | - |
| Number of salaries quoted | 3 | 0 | 0 |
| 10th Percentile | - | - | - |
| 25th Percentile | - | - | - |
| Median annual salary (50th Percentile) | £30,000 | - | - |
| 75th Percentile | £36,125 | - | - |
| 90th Percentile | £39,800 | - | - |
| North Yorkshire median annual salary | £51,250 | £47,500 | £50,000 |
| % change year-on-year | +7.89% | -5.00% | +2.04% |
Node.js
Co-Occurring Skills & Capabilities in Ripon by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category: